IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v32y2022i1d10.1007_s12525-021-00483-2.html
   My bibliography  Save this article

The dark sides of AI personal assistant: effects of service failure on user continuance intention

Author

Listed:
  • Yi Sun

    (Shanghai University)

  • Shihui Li

    (Shanghai University, Jiading District)

  • Lingling Yu

    (Shanghai University)

Abstract

With the popularization of smart devices and the rapid development of smart voice technology, AI personal assistants (AIPAs) have penetrated deeply into users' lives. Compared with previous years, the accuracy, semantic understanding ability, and wake-up ability of AIPAs have been improved, but the lack of service maturity and the insufficient degree of scene integration have brought users a poor human–computer interaction experience. However, studies have scarcely uncovered the underlying mechanism through which those dark sides of AIPAs exert impacts on users' continuance intention. From the perspective of technostress, the current study proposes a theoretical model for consumers to cope with service failure pressure sources. This article collected 413 questionnaires and conducted an empirical analysis. Results show that negative technical characteristics will affect consumers’ psychological responses and ultimately affect consumers’ technical exhaustion, satisfaction, and two kinds of continuance intentions (general and partial continuance intentions) through cognitive load. Findings open up new avenues for research by exploring the mechanism of how the service failures of these AIPAs affect consumers' continuance intention through the perspective of technostress.

Suggested Citation

  • Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:1:d:10.1007_s12525-021-00483-2
    DOI: 10.1007/s12525-021-00483-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-021-00483-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-021-00483-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Li, Han & Gupta, Ashish & Zhang, Jie & Flor, Nick, 2020. "Who will use augmented reality? An integrated approach based on text analytics and field survey," European Journal of Operational Research, Elsevier, vol. 281(3), pages 502-516.
    4. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    5. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    6. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    7. Bandura, Albert, 1991. "Social cognitive theory of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 248-287, December.
    8. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    9. repec:hal:gemptp:hal-01249895 is not listed on IDEAS
    10. Hu, Qian & Lu, Yaobin & Pan, Zhao & Gong, Yeming & Yang, Zhilin, 2021. "Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants," International Journal of Information Management, Elsevier, vol. 56(C).
    11. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    12. Qian Hu & Yaobin Lu & Zhao Pan & Yeming Gong & Zhiling Yang, 2021. "Can AI artifacts influence human cognition? : The effects of artificial autonomy in intelligent personal assistants," Post-Print hal-03188233, HAL.
    13. Hillol Bala & Viswanath Venkatesh, 2016. "Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes," Management Science, INFORMS, vol. 62(1), pages 156-179, January.
    14. Inès Chouk & Zied Mani, 2017. "Drivers of consumers’ resistance to smart products," Post-Print hal-02980400, HAL.
    15. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    16. Jonathan W. Palmer, 2002. "Web Site Usability, Design, and Performance Metrics," Information Systems Research, INFORMS, vol. 13(2), pages 151-167, June.
    17. Chin-Lung Hsu & Judy Chuan-Chuan Lin, 2020. "Understanding continuance intention to use online to offline (O2O) apps," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 883-897, December.
    18. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
    19. Melissa Mazmanian & Wanda J. Orlikowski & JoAnne Yates, 2013. "The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals," Organization Science, INFORMS, vol. 24(5), pages 1337-1357, October.
    20. Thara Ravindran & Alton Chua Yeow Kuan & Dion Goh Hoe Lian, 2014. "Antecedents and effects of social network fatigue," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2306-2320, November.
    21. Taehyee Um & Taekyung Kim & Namho Chung, 2020. "How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services?," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    22. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    23. Shirish C. Srivastava & Shalini Chandra & Anuragini Shirish, 2015. "Technostress creators and job outcomes : theorising the moderating influence of personality traits," Post-Print hal-01249895, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nika Meyer (née Mozafari) & Melanie Schwede & Maik Hammerschmidt & Welf Hermann Weiger, 2022. "Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2491-2505, December.
    2. Kumar, Anand & Bala, Pradip Kumar & Chakraborty, Shibashish & Behera, Rajat Kumar, 2024. "Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    3. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    4. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    5. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Issa Helmi & Lakkis Hussein & Dakroub Roy & Jaber Jad, 2023. "Examining User Engagement and Experience in Agritech," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 17-32, June.
    7. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    8. Elodie Attié & Lars Meyer-Waarden, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Post-Print hal-04065165, HAL.
    9. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    10. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    11. Monideepa Tarafdar & Cary L Cooper & Jean‐françois Stich, 2018. "The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research," Post-Print hal-01689038, HAL.
    12. Shaw, Norman & Sergueeva, Ksenia, 2019. "The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value," International Journal of Information Management, Elsevier, vol. 45(C), pages 44-55.
    13. Aurélie Leclercq-Vandelannoitte, 2019. "Is Employee Technological “Ill-Being” Missing from Corporate Responsibility? The Foucauldian Ethics of Ubiquitous IT Uses in Organizations," Journal of Business Ethics, Springer, vol. 160(2), pages 339-361, December.
    14. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Rouven-B. Wiegard & Michael H. Breitner, 2019. "Smart services in healthcare: A risk-benefit-analysis of pay-as-you-live services from customer perspective in Germany," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 107-123, March.
    16. Prem Borle & Kathrin Reichel & Fiona Niebuhr & Susanne Voelter-Mahlknecht, 2021. "How Are Techno-Stressors Associated with Mental Health and Work Outcomes? A Systematic Review of Occupational Exposure to Information and Communication Technologies within the Technostress Model," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    17. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    18. Verhagen, T., 2008. "Investigating the impact of C2C electronic marketplace quality on trust," Serie Research Memoranda 0008, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    19. Liang, Sai & Li, Hui & Liu, Xianwei & Schuckert, Markus, 2019. "Motivators behind information disclosure: Evidence from Airbnb hosts," Annals of Tourism Research, Elsevier, vol. 76(C), pages 305-319.
    20. Tayyba Rasool & Nosheen Fatima Warraich & Muhammad Sajid, 2022. "Examining the Impact of Technology Overload at the Workplace: A Systematic Review," SAGE Open, , vol. 12(3), pages 21582440221, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:32:y:2022:i:1:d:10.1007_s12525-021-00483-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.